Compression of message information transmitted over a network

ABSTRACT

Disclosed are systems and methods for providing message compression instructions by communicating with a plurality of sender machines and a plurality of receiver machines and monitoring one or more messages from the plurality of sender machines. The disclosed systems and methods may also identify a part of the one or more messages that is frequently included in a plurality of the messages sent by the plurality of sender machines, dynamically determine compression instructions to compress this part of the message, and provide the compression instructions to at least one of the plurality of sender machines, such that the compression instructions reduce size of the messages having the part of the message associated with the compression instructions.

CROSS REFERENCE TO RELATED APPLICATIONS

This application relates and claims priority to U.S. Provisional PatentApplication No. 61/414,321 entitled “Server assisted adaptive metadatacompression,” filed on Nov. 16, 2010, which is hereby incorporated byreference in its entirety.

TECHNICAL FIELD

The disclosed embodiments relate generally to compression of messageinformation and, more specifically, systems and methods for managingtransmission of compressed forms of information.

BACKGROUND

Typical servers and communication systems do not provide efficientimplementations to limit the size of transmissions, which may cause thenetwork to become congested. Typically, all of the information of atransmission is necessarily passed through the network. Without datacompression, expensive resources are continuously consumed with everymessage, including storage space and transmission bandwidth. Thisproblem may become worse when the communication systems utilize amessage format in the message itself to create a self-describing messagethat may allow senders and receivers to communicate with one anotherwithout any prearrangement. Self-describing messages having messageformat information adds overhead to every message, which, in networkcommunication, consumes expensive resources and negatively affectscommunication speed. The need has arisen to provide a method and systemfor transmitting self-describing messages that addresses the issues ofconsuming expensive resources, communication speed, and networkcongestion.

SUMMARY

According to an aspect of this disclosure, systems are described forcompressing information communicated in message-oriented middlewaresystems. The systems includes a sender machine and a receiver machinefor sending and receiving compressed information across a network. Afacilitator server is operable to facilitate compressing of theinformation. In an embodiment, the facilitator server is operable tomonitor traffic and/or content of the network or data pipeline and tofacilitate compressing of the information based on results of themonitoring.

According to another aspect of this disclosure, methods are describedfor compressing information communicated in message-oriented middlewaresystems. The methods may include compressing information and sending acompressed form of the information by a sender machine, and receivingand uncompressing the compressed form of information by a receivermachine. The compressed information may include a compressionidentifier. The methods may further include the receiver machineuncompressing the compressed form of information based on thecompression identifier received from the sender machine anddecompression instructions from a facilitator server. The methods mayinclude monitoring traffic and content of a network and generatingcompression and decompression instructions and compression identifiersbased on results of the monitoring.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic diagram of an example communication system, inaccordance with the present disclosure;

FIG. 2 is a schematic diagram of an example sender and receiver system,in accordance with the present disclosure;

FIG. 3 is a schematic diagram of an example system for compressingmessages, in accordance with the present disclosure;

FIG. 4A is a schematic diagram illustrating an example of a messagebuffer, in accordance with the present disclosure;

FIG. 4B is a schematic diagram illustrating an example of an optimizedmessage buffer, in accordance with the present disclosure;

FIG. 4C is a schematic diagram illustrating another example of anoptimized message buffer, in accordance with the present disclosure;

FIG. 5 is a schematic diagram of a sender and receiver system, inaccordance with the present disclosure;

FIG. 6 is a flow diagram illustrating sending and receiving compressedmessages, in accordance with the present disclosure;

FIG. 7 is a flow diagram illustrating sending and receiving compressedmessages, in accordance with the present disclosure; and

FIG. 8 is flow diagram illustrating monitoring and compression ofmessages, in accordance with the present disclosure.

DETAILED DESCRIPTION

FIG. 1 is a schematic diagram of an example communication system 100.The system 100 includes a sending machine 101 for sending a message overa network 102 to a receiving machine 103. At the output of the sendingmachine 101, a certain amount of information 104 may be outputted fromthe machine, and at the input of the receiving machine 103, a certainamount of information 105 may be received. If sending machine 101 wishesto send more information 104/105 to the receiving machine 103, all ofthat information 104/105 is necessarily passed through network 102.Without data compression, expensive resources are continuously consumedwith every message, including storage space and transmission bandwidth.

In conventional solutions, message-oriented middleware systems may beutilized to facilitate the transmission of content messages having aparticular format (e.g., a self describing message). Machines sendingand receiving structured or semi-structured data of various types (textstrings, numeric data, floating-point numeric data, date/time, etc.) viamessage-oriented middleware systems may need to know the format of themessages they exchange. The machine sending the message may encode itsdata into a message buffer for transmission and that encoding is knownto the machine receiving the message so that the transmitted messagebuffer can be correctly parsed. An agreement of the format between thesender and receiver machines may be accomplished explicitly—by previousagreement as to the message formats between the senders and receivers—orthe message format may be included as information in the message itself.

Including the message format in the message itself creates aself-describing message. A machine receiving the information may parsethe message using the message format information contained within themessage itself. Thus, the self-describing message, including the messageformat information, may allow senders and receivers to communicatewithout any prearranged format.

Disclosed herein are methods and systems for compressing messages andcommunicating the compressed messages. For example, method and systemsmay compress messages containing repetitive format and/or repetitivedata, which will result in less traffic being communicated over anetwork. In an embodiment, message-based middleware systems on a networkor data pipeline may enable format identifier information and/or formatinformation and/or the compression and decompression of information at asender machine and a receiver machine.

FIG. 2 is a schematic diagram of an example sender and receiver system200. The system 200 includes a facilitator server 206 capable ofcommunicating with a sender machine 201 and a receiver machine 203. Inan embodiment, the sender 201 and/or receiver 203 may communicate withfacilitator server 206 through the network 202. Facilitator server 206may report or determine a format, including which information is to becompressed, which allows sender machine 201 to send a compressed messageover network 202. The compressed message allows for certain formattinginformation and/or data information to be omitted. Thus, the amount ofinformation being transmitted over the network 202 is reduced.

FIG. 3 is a schematic diagram of an example system for compressingmessages. The system 300 may include a sender machine 301, a receivermachine 303 and a facilitator server 309 on a network 307. The system300 may further include a data store 311 and an administrator machine305. Sender machine 301 and receiver machine 303 may each include an API330 for interfacing with an application 332 and a processing engine 334for running the application 332. Facilitator server 309 may include afacilitator engine 372. Facilitator engine 372 may be any processorcomponent, or the like, for processing information and/or facilitatingcompression of information, including generating a compressionidentifier for use in compressed information communications betweensender machine 301 and receiver machine 303. In an example embodiment,the compression identifier is used to identify the compressedinformation. In an example embodiment, the facilitator server 309generates a compression identifier for each type of message to becompressed. In some embodiments, the compression identifier may begenerated upon identifying the information to be compressed. In someembodiments, the compression identifier may be generated when sendermachine 301 is ready to send information to be compressed.

Network 307 may represent any form of communication network supportingcircuit-switched, packet-based, and/or any other suitable type ofcommunications between the sender machine 301, receiver machine 303, andfacilitator server 309, and any other elements in FIG. 1. In anembodiment, the facilitator server 309 may also be in communication withan administrator machine 305, allowing an administrator to altersettings of the facilitator server 309 and to add compressioninstructions and information to be compressed into a compression library(not shown) stored in, for example, the data store 311, which isaccessible by the facilitator server 309. Network 307 may additionallyinclude any other nodes of system 300 capable of transmitting and/orreceiving information over a communication network. Although shown inFIG. 1 as a single element, network 307 may represent one or moreseparate networks (including all or parts of various different networks)that are separated and serve different respective elements illustratedin FIG. 1. Network 307 may include routers, hubs, switches, firewalls,content switches, gateways, call controllers, and/or any other suitablecomponents in any suitable form or arrangement. Network 307 may include,in whole or in part, one or more secured and/or encrypted VirtualPrivate Networks (VPNs) operable to couple one or more network elementstogether by operating or communicating over elements of a public orexternal communication network. In general, network 307 may comprise anycombination of public or private communication equipment such aselements of the public switched telephone network (PSTN), a globalcomputer network such as the Internet, a local area network (LAN), awide area network (WAN), or other appropriate communication equipment.In some embodiments, network 307 may not be used if all of thecomponents are located on the same machine. In an embodiment, sendermachine 301 and receiver machine 303 may communicate throughpeer-to-peer (P2P) communications over network 307.

Facilitator server 309 may facilitate communication of information(e.g., metadata and/or data associated with messages) in compressedform, which may include omitting a part or all formatting information ofthe message and/or data from the message itself. This providesperformance improvements, particularly over time when several messagesof the same format and/or containing the same information arecommunicated. The facilitator server 309 may record (e.g., in thecompression library) and determine (e.g., by referencing the compressionlibrary or monitoring traffic and/or content of the network) informationto be compressed, such as message formats or data, generate associatedcompression identifiers, and may send them on demand to a sender machine301, a receiver machine 303 and/or both. Applications running on thesender machine 301 and/or receiver machine 303 may cache the informationto be compressed/uncompressed and/or compression identifiers, allowingthe machines to communicate with each other without including therepetitive information in the message and/or without repetitive contactwith the facilitator server 309.

The facilitator server 309 may also monitor traffic and/or content inthe network. In an example embodiment, results of the monitoring may beused to create compression/decompression instructions and/or compressionidentifiers on-the-fly, and in particular is operable to optimizecompression techniques in high traffic conditions and/or for messageformats and/or contents occurring frequently in a given time window.

System 300 may comprise sender machine 301, receiver machine 303, andfacilitator server 309, each of which may be any suitable computingdevice comprising a processor and a memory to perform the describedfunctionality. Sender machine 301, receiver machine 303, and facilitatorserver 309 may comprise one or more machines, workstations, laptops,blade servers, server farms, and/or stand-alone servers. Sender machine301, receiver machine 303, and facilitator server 309 may include anyhardware and/or controlling logic used to communicate information to andfrom one or more elements illustrated in FIG. 3. For example, sendermachine 301, receiver machine 303, and facilitator server 309 may beoperable to receive and process data of different types that may betransmitted via different protocols or formats. Other elements in FIG. 3may also comprise hardware and/or controlling logic to communicateinformation to and from one or more elements illustrated in FIG. 3.

While illustrated as a single sender machine 301 in FIG. 3, system 300may comprise more than one sender machine 301. Although described assender machine 301 in FIG. 3, sender machine 301 may receive messages insome embodiments. While illustrated as a single receiver machine 303 inFIG. 3, system 300 may comprise more than one receiver machine 303.Although described as receiver machine 303 in FIG. 3, receiver machine303 may generate and send messages in some embodiments.

Memory may store any suitable information. Memory may comprise anycollection and arrangement of volatile and/or non-volatile componentssuitable for storing data. For example, memory may comprise randomaccess memory (RAM) devices, read only memory (ROM) devices, magneticstorage devices, optical storage devices, and/or any other suitable datastorage devices. In particular embodiments, memory may represent, inpart, computer-readable storage media on which computer instructionsand/or logic are encoded. Memory may represent any number of memorycomponents within, local to, and/or accessible by processor. Processormay represent and/or include any form of processing component, includinggeneral purpose computers, dedicated microprocessors, or otherprocessing devices capable of processing electronic information.Examples of processor include digital signal processors (DSPs),application-specific integrated circuits (ASICs), field-programmablegate arrays (FPGAs), and any other suitable specific or general purposeprocessors.

FIGS. 4A, 4B, 4C are schematic diagrams illustrating messages 420, 440,460.

Message header 420 or message buffer 420 may be included as part of amessage and is an exemplary way to self-describe the message. Messageheader 420 may include format information that a receiver machine mayuse to parse the message. For example, message header 420 includes afield name (“Ticker”), field type (1, e.g., for string), field value(“TIBX”), field name (“Value”), field type (2, e.g., for floating pointnumber), and field value (15.26). As discussed above, suchself-describing messages add overhead to every message, therebyconsuming resources and decreasing effective communication speed for agiven bandwidth communication channel. In some embodiments, messageheader 420 may include the entire message.

Message header 440 is an example of a compressed form of the example ofFIG. 4A. The optimized message header 440 may include a compressionidentifier (7) for a unique message format and field values (“TIBX” and15.26). In the example, the message header 440 may be pre-pended withthe message's compression identifier (e.g., 7), which allows for thefield names and types to be omitted.

Message header 460 is another example of a compressed form of theexample of FIG. 4A. In many cases, a series of messages may be sent inwhich one or more of the fields have a fixed value (e.g., for a seriesof stock quote messages sent for the same equity instrument would havethe ticker symbol of the equity field with a fixed value). If the valueof the field is long, additional data compression may be realized bycompressing the fixed data field rather than including it in individualmessages. In the example given above for FIGS. 4A and 4B, if messagesinclude the field name “Ticker” having a constant value of “TIBX,” thenan optimized message format may include only a compression identifier(e.g., 8) and any other message fields (e.g., 15.26) that are notcompressed. The message 460 is pre-pended with the message's compressionidentifier (e.g., 8, which differs from the compression for FIG. 4B inwhich the Ticker field is variable). Field names, types, andconstant-value fields may, thus, be eliminated from the message payload.In other words, the values of the constant values may be compressed by,for example, replacing them with a compression identifier (both storedat the facilitator server) rather than containing them in the messageitself.

Referring back to FIG. 3, in an embodiment, facilitator server 309library of compression information/instructions (e.g., message formats)and associated compression identifiers may be built manually through anadministrative machine 305. In some embodiments, the facilitator server309 library of compression information/instructions (e.g., messageformats) and compression identifiers may be recorded and/or builtdynamically as senders create new messages or as receivers receivemessages. In some embodiments, facilitator server can be automated todynamically generate compression information/instructions (e.g., messageformats) and compression identifiers based on the messages transmittedfrom sender machine to receiver machine, such that administrator is notneeded. In cases where a message that has a new format or is not storedin the library is sent before the facilitator server completes thedynamic record/registration, the system may temporarily and/orautomatically degrade to fully self-describing messages.

As discussed above in relation to FIG. 3, in an embodiment, informationto be compressed may be identified manually by an administrator orautomatically by facilitator server 309 based on the messagestransmitted from sender machine 301 to receiver machine 303. FIG. 5 is aschematic diagram illustrating a system 500 for sending and receivingmessages having manual interaction between an administrator 520,facilitator server 506, sender 501, and receiver 503. At a high level,the administrator 520 may manually identify and provide information tobe compressed (path 509) to the facilitator server 506. In someembodiments, administrator 520 may also determine the associatedcompression identifier for the identified information to be compressed.In some embodiments, facilitator server 506 may automatically determinethe associated compression identifier for the identified information tobe compressed. In an example embodiment, facilitator server 506 maycontinuously and/or periodically monitor traffic and/or content in thenetwork 502 so as to identify and further optimize the information to becompressed. In further optimizing the information to be compressed, thefacilitator server 506 may further compress or completely replace themanually identified information to be compressed based on the results ofthe monitoring. The sender 501 may request instructions from facilitatorserver 506 pertaining to the information to be compressed and theassociated compression identifier. In some embodiments, sender machine501 may promptly cache the compression identifier and associateduncompressed information for future use, which generates furtherefficiency gains. The sender 501 may proceed to compress a messageaccording to the instructions from the facilitator server 506 and send acompressed form of the message to the receiver 503. The receiver 503receives the compressed message, which may include the compressionidentifier, and requests decompression instructions pertaining to thecompressed message from the facilitator server 506. In some embodiments,receiver machine 503 may promptly cache the compression identifier andassociated uncompressed information for future use when receiving thesame compressed messages. Once cached, receiver machine 503 may nolonger need to send a request to facilitator server 506 to decompressthe same compressed message.

FIG. 6 is a flow diagram illustrating an example process 600 of FIG. 5.Optionally, the administrator may determine information to be compressedand communicate it to the facilitator server at action 602. Theadministrator may also determine the associated compression identifier,or such may be the task of the facilitator server. At action 604, thefacilitator server may then monitor the traffic and/or contents of thenetwork so as to further optimize compression of information. At action606, a sender requests compression instructions or format information(if it has not already cached the compression instructions andassociated compression identifier), including the associated compressionidentifier, from a facilitator server. At action 608, the facilitatorserver sends the compression instructions or format information to thesender. At action 610, the sender compresses the message based on theinstructions from the facilitator machine. At action 612, the compressed(or formatted) message includes the compression identifier. At action614, the compressed (or formatted) message is sent to the receiver. Uponreceiving the compressed message, the receiver requests decompressioninstructions or format instructions (if it has not already cached thedecompression instructions and associated compression identifier) forthe specified compression identifier from the facilitator server. Ataction 616, the decompression instructions or format instructions aresent to the receiver machine, and the receiver machine may cache theseinstructions. At action 618, sender may continue to send messages to thereceiver and the receiver may decompress the same compressed messagebased on the cached information, without interacting with thefacilitator server.

FIG. 7 is a flow diagram illustrating a process for dynamic interactionbetween a facilitator server, sender, and receiver. At action 702, thesender creates a new message. In an embodiment, the created message is anew message which may not be known to the facilitator server, and thenew message may include new format information and/or new data. Ataction 704, the message information or message format is sent to thefacilitator server, and, if the format or contents of the message arenew, the facilitator server will register the new format or content inthe compression library. At action 706, the facilitator server may thenmonitor the traffic and/or contents of the network so as to furtheroptimize compression of information transmitted between senders andreceivers. At action 708, the facilitator server sends compressioninstructions pertaining to the new content or format, along with anassociated compression identifier, to the sender. In an exampleembodiment, the compression instructions or format instructions andassociated compression identifier are cached by the sender. At action710, if the sender receives the compression instructions or formatinstructions before sending the new message, the sender compresses themessage, including the compression identifier, according to compressioninstructions or format instructions and sends the compressed message tothe receiver at action 712. At action 714, upon receiving the compressedmessage, the receiver requests decompression instructions from thefacilitator server based on the received compression identifier. Ataction 716. The facilitator server sends the decompression instructionsor format instructions to the receiver, and the receiver caches thisinformation. At action 718, the sender may continue to send similarmessages having a similar or same format to the receiver and thereceiver may uncompress based on the cached information. It is to beunderstood that if the sender does not receive the compressioninstructions before sending the new message, the new message may be sentas an uncompressed self-describing message. Future communication of thesame message may be compressed and uncompressed using thecompression/decompression instructions in the manner described above.

FIG. 8 is a flow diagram illustrating a process 800 for dynamic oradaptive interaction between the facilitator server, a sender, and areceiver. The facilitator server monitors message traffic and/or contentover a network at action 802. The facilitator server may determine oneor more high traffic areas in the network at action 804. Alternativelyor in addition, the facilitator server may identify frequently sentmessages having the same format at action 804 which may be goodcandidates for message format compression at action 806. Alternativelyor in addition, the facilitator server may determine frequently sentdata at action 804 which may be good candidates for message datacompression at action 806. The facilitator server may dynamicallydetermine information to be compressed (including instructions tocompress and uncompress) and generate compression identifiers for suchmessage format types and/or for such message data at action 807. Thefacilitator server may provide the compression/decompressioninstructions, including the compression identifier, to a sender machineand/or a receiving machine in a similar manner as discussed above ataction 808.

In the case of FIGS. 6 to 8, messages are sent without repetitiveinformation being included in the message itself, and messagecompression improves over time as senders create and share moremessages. In this regard, substantially less consumption of resourcesare realized.

While various embodiments have been described above, it should beunderstood that they have been presented by way of example only, and notlimitation. Thus, the breadth and scope of a preferred embodiment shouldnot be limited by any of the above described exemplary embodiments, butshould be defined only in accordance with the claims and theirequivalents for any patent that issues claiming priority from thepresent provisional patent application.

For example, as referred to herein, a machine or engine may be a virtualmachine, computer, node, instance, host, a part of a machine, or machinein a networked computing environment. Also as referred to herein, anetworked computing environment is a collection of machines connected bycommunication channels that facilitate communications between machinesand allow for machines to share resources. Network may also refer to acommunication medium between processes or machine parts on the samemachine. Also as referred to herein, a server is a machine deployed toexecute a program operating as a machine using the network and mayinclude software instances.

Resources may encompass any types of resources for running instancesincluding hardware (such as servers, clients, mainframe computers,networks, network storage, data sources, memory, central processing unittime, scientific instruments, and other computing devices), as well assoftware, software licenses, available network services, othernon-hardware resources, and bandwidth, or a combination thereof.

A networked computing environment may include, but is not limited to,computing grid systems, distributed computing environments, cloudcomputing environment, etc. Such networked computing environmentsinclude hardware and software infrastructures configured to form avirtual organization comprised of multiple resources which may be ingeographically disperse locations.

The coverage of the present application and any patents issuing therefrom may extend to local-area network, wide-area network, or othernetwork operating using other communications protocols, includingcommunication between processes on the same machine.

Services and applications are described in this application using thosealternative terms. Services can be java services or other instances ofoperating code. A service/application is a program running on a machineor a cluster of machines in a networked computing environment. Servicesmay be transportable and may be run on multiple machines and/or migratedfrom one machine to another.

Various terms used herein have special meanings within the presenttechnical field. Whether a particular term should be construed as such a“term of art,” depends on the context in which that term is used.“Connected to,” “in communication with,” or other similar terms shouldgenerally be construed broadly to include situations both wherecommunications and connections are direct between referenced elements orthrough one or more intermediaries between the referenced elements,including through the Internet or some other communicating network.“Network,” “system,” “environment,” and other similar terms generallyrefer to networked computing systems that embody one or more aspects ofthe present disclosure. These and other terms are to be construed inlight of the context in which they are used in the present disclosureand as those terms would be understood by one of ordinary skill in theart would understand those terms in the disclosed context. The abovedefinitions are not exclusive of other meanings that might be impartedto those terms based on the disclosed context.

Words of comparison, measurement, and timing such as “at the time,”“equivalent,” “during,” “complete,” and the like should be understood tomean “substantially at the time,” “substantially equivalent,”“substantially during,” “substantially complete,” etc., where“substantially” means that such comparisons, measurements, and timingsare practicable to accomplish the implicitly or expressly stated desiredresult.

Additionally, the section headings herein are provided for consistencywith the suggestions under 37 CFR 1.77 or otherwise to provideorganizational cues. These headings shall not limit or characterize theinvention(s) set out in any claims that may issue from this disclosure.Specifically and by way of example, although the headings refer to a“Technical Field,” such claims should not be limited by the languagechosen under this heading to describe the so-called technical field.Further, a description of a technology in the “Background” is not to beconstrued as an admission that technology is prior art to anyinvention(s) in this disclosure. Neither is the “Brief Summary” to beconsidered as a characterization of the invention(s) set forth in issuedclaims. Furthermore, any reference in this disclosure to “invention” inthe singular should not be used to argue that there is only a singlepoint of novelty in this disclosure. Multiple inventions may be setforth according to the limitations of the multiple claims issuing fromthis disclosure, and such claims accordingly define the invention(s),and their equivalents, that are protected thereby. In all instances, thescope of such claims shall be considered on their own merits in light ofthis disclosure, but should not be constrained by the headings set forthherein.

1. A facilitator server for providing message compression instructions,wherein the facilitator server is operable to: communicate with aplurality of sender machines and a plurality of receiver machines;monitor one or more messages from the plurality of sender machines;identify a part of the one or more messages that is frequently includedin a plurality of the messages sent by one or more of the sendermachines; dynamically determine compression instructions to compressthis part of the message; and provide the compression instructions to atleast one of the plurality of sender machines, wherein the compressioninstructions reduce size of the messages having the part of the messageassociated with the compression instructions.
 2. The facilitator serverof claim 1, wherein the facilitator server is further operable toprovide the compression instructions to at least one of the plurality ofreceiver machines, wherein the receiver machine utilizes the compressioninstructions to decompress compressed information of a messageassociated with the compression instructions.
 3. The facilitator serverof claim 1, wherein the facilitator server is further operable to send acompression identifier associated with the compression instructions to asender machine.
 4. The facilitator server of claim 1, wherein the sendermachine can compress at least a part of the message by replacing thepart to be compressed with the compressed form of the informationaccording to the compression instructions, wherein the compressedmessage comprises a compression identifier.
 5. The facilitator server ofclaim 1, wherein the message comprises format information and datacontents, wherein the compression instructions may compress a part ofthe format information or the data.
 6. The facilitator server of claim1, wherein the facilitator server is further operable to monitor the oneor messages sent by the plurality of sender machines and dynamicallydetermine further compression instructions to compress other parts ofthe one or more messages.
 7. The facilitator server of claim 1, whereinthe facilitator server is further operable to monitor the one ormessages received by the plurality of receiver machines and dynamicallydetermines further compression instructions.
 8. The facilitator serverof claim 1, wherein the facilitator server is further operable toreceive compression instructions from an administrator.
 9. Thefacilitator server of claim 1, wherein a receiver machine that receivesthe compression instructions can store the compression instructions forfuture message compression of messages sent or received by the receivermachine without having to communicate with the facilitator server.
 10. Amethod for providing message compression instructions, wherein themethod comprises: communicating, by a facilitator server, with aplurality of sender machines and a plurality of receiver machines;monitoring, by the facilitator server, one or more messages from theplurality of sender machines; identifying, by the facilitator server, apart of the one or more messages that is frequently included in aplurality of the messages sent by the plurality of the sender machine;dynamically determining, by the facilitator server, compressioninstructions to compress this part of the message; and providing, by thefacilitator server, the compression instructions to at least one of theplurality of sender machines, wherein the compression instructionsreduce size of the messages having the part of the message associatedwith the compression instructions.
 11. The method of claim 10, whereinthe method further comprises providing the compression instructions toat least one of the plurality of receiver machines, wherein the receivermachine utilizes the compression instructions to uncompress compressedinformation of a message associated with the compression instructions.12. The method of claim 10, wherein the method further comprises sendinga compression identifier associated with the compression instructions toa sender machine.
 13. The method of claim 10, wherein the sender machinecan compress at least a part of the message by replacing the part to becompressed with the compressed form of the information according to thecompression instructions, wherein the compressed message comprises acompression identifier.
 14. The method of claim 10, wherein the messagecomprises format information and data contents, wherein the compressioninstructions may compress a part of the format information or the data.15. The method of claim 10, wherein the method further comprisesmonitoring the one or messages sent by the plurality of sender machinesand dynamically determining further compression instructions to compressother parts of the one or more messages.
 16. The method of claim 10,wherein the method further comprises monitoring the one or messagesreceived by the plurality of receiver machines and dynamicallydetermining further compression instructions.
 17. The method of claim10, wherein the method further comprises receiving compressioninstructions from an administrator.
 18. The method of claim 10, whereina receiver machine that receives the compression instructions can storethe compression instructions for future message compression of messagessent or received by the receiver machine without having to communicatewith the facilitator server.
 19. Logic for providing message compressioninstructions, the logic being embodied in a computer-readable medium andwhen executed operable to: communicate with a plurality of sendermachines and a plurality of receiver machines; monitor one or moremessages from the plurality of sender machines; identify a part of theone or more messages that is frequently included in a plurality of themessages sent by the plurality of the sender machine; dynamicallydetermine compression instructions to compress this part of the message;and provide the compression instructions to at least one of theplurality of sender machines, wherein the compression instructionsreduce size of the messages having the part of the message associatedwith the compression instructions.
 20. The logic of claim 19, whereinthe logic when executed is further operable to provide the compressioninstructions to at least one of the plurality of receiver machines,wherein the receiver machine utilizes the compression instructions touncompress compressed information of a message associated with thecompression instructions.